Longitudinal threshold models with random components

A. Saei; C. A. McGilchrist

doi:10.1111/1467-9884.00137

Longitudinal threshold models with random components

A. Saei^*, C. A. McGilchrist

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

Longitudinal studies with ordinal response data may be fitted by using a threshold response model in which threshold parameters are related to regression variables and also to random components which account for correlations between observations on the same subject. The threshold parameters may be constant or time varying. Residual maximum likelihood estimators are developed and applied to two problems involving skin treatment. A small simulation study supports the estimation procedure.

Original language	English
Pages (from-to)	365-375
Number of pages	11
Journal	Journal of the Royal Statistical Society Series D: The Statistician
Volume	47
Issue number	2
DOIs	https://doi.org/10.1111/1467-9884.00137
Publication status	Published - 1998

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10.1111/1467-9884.00137

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title = "Longitudinal threshold models with random components",

abstract = "Longitudinal studies with ordinal response data may be fitted by using a threshold response model in which threshold parameters are related to regression variables and also to random components which account for correlations between observations on the same subject. The threshold parameters may be constant or time varying. Residual maximum likelihood estimators are developed and applied to two problems involving skin treatment. A small simulation study supports the estimation procedure.",

keywords = "Ordinal data, Regression, Time dependence",

author = "A. Saei and McGilchrist, {C. A.}",

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AU - McGilchrist, C. A.

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AB - Longitudinal studies with ordinal response data may be fitted by using a threshold response model in which threshold parameters are related to regression variables and also to random components which account for correlations between observations on the same subject. The threshold parameters may be constant or time varying. Residual maximum likelihood estimators are developed and applied to two problems involving skin treatment. A small simulation study supports the estimation procedure.

KW - Ordinal data

KW - Regression

KW - Time dependence

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DO - 10.1111/1467-9884.00137

M3 - Article

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EP - 375

JO - Journal of the Royal Statistical Society Series D: The Statistician

JF - Journal of the Royal Statistical Society Series D: The Statistician

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ER -

Longitudinal threshold models with random components

Abstract

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